q100_info

installation

0. Install node modules: npm install
1. setup a folder public/data as a symlink pointing to qScope/data (see recommended folder structure below)

running the program

1. Run qScope_infoscreen: npm start
2. Run qScope_frontend

Recommended folder structure

project qScope
└───cspy
│   └───modified MIT CityScoPy Token Tag Decoder
└───data
|   └───outputs
|      └───output_[timestamp]
|         (simulation-specific output)
|         └───buildings_clusters_[timestamp].csv
|         (exportierte Gebäudeliste von Frontend)
|         └───simulation_parameters_[timestamp].xml
|         (xml-Datei mit allen Simulationsparametern zum Starten des headless modes)
|         └───connections
|         |       Export der Anschlussquoten
|         └───emissions
|         |      gebäudespezifische und aggregierte Quartiersemissionen
|         └───snapshot
|               von GAMA produzierte Grafiken
└───q100_abm
│   │   GAMA workspace folder
│   └───q100
│       │   Trend Model
│       └───models
|       │    └───qscope_ABM.gaml
|       └───__data__ symlink zu data-Ordner (unten))
└───qScope_infoscreen
│       infoscreen (NodeJS/ JavaScript)
└───qScope_frontend
        projection (Python)

where:

• cspy: https://github.com/quarree100/cspy
• data: has to be linked from Seafile server
• GAMA: https://github.com/quarree100/q100_abm
• qScope_infoscreen: https://github.com/quarree100/qScope_infoscreen
• qScope_frontend: https://github.com/quarree100/qScope_frontend